Expression of a plant viral polycistronic mRNA in yeast, Saccharomyces cerevisiae, mediated by a plant virus translational transactivator.

We demonstrate that the cauliflower mosaic virus (CaMV) gene VI product can transactivate the expression of a reporter gene in bakers' yeast, Saccharomyces cerevisiae. The gene VI coding sequence was placed under the control of the galactose-inducible promoter GAL1, which is presented in the yeast shuttle vector pYES2, to create plasmid JS169. We also created a chloramphenicol acetyltransferase (CAT) reporter plasmid, JS161, by inserting the CAT reporter gene in-frame into CaMV gene II and subsequently cloning the entire CaMV genome into the yeast vector pRS314. When JS161 was transformed into yeast and subsequently assayed for CAT activity, only a very low level of CAT activity was detected in cellular extracts. To investigate whether the CaMV gene VI product would mediate an increase in CAT activity, we cotransformed yeast with JS169 and JS161. Upon induction with galactose, we found that CAT activity in yeast transformed with JS161 and JS169 was about 19 times higher than the level in the transformants that contained only JS161. CAT activity was dependent on the presence of the gene VI protein, because essentially no CAT activity was detected in yeast cells grown in the presence of glucose, which represses expression from the GAL1 promoter. RNase protection assays showed that the gene VI product had no effect on transcription from the 35S RNA promoter, demonstrating that regulation was occurring at the translation level. This yeast system will prove useful for understanding how the gene VI product of CaMV mediates the translation of genes present on a eukaryotic polycistronic mRNA.

Phenotype correction in retinal pigment epithelium in murine mucopolysaccharidosis VII by adenovirus-mediated gene transfer.

We have studied the use of adenovirus-mediated gene transfer to reverse the pathologic changes of lysosomal storage disease caused by beta-glucuronidase deficiency in the eyes of mice with mucopolysaccharidosis VII. A recombinant adenovirus carrying the human beta-glucuronidase cDNA coding region under the control of a non-tissue-specific promoter was injected intravitreally or subretinally into the eyes of mice with mucopolysaccharidosis VII. At 1-3 weeks after injection, the treated and control eyes were examined histochemically for beta-glucuronidase expression and histologically for phenotypic correction of the lysosomal storage defect. Enzymatic expression was detected 1-3 weeks after injection. Storage vacuoles in the retinal pigment epithelium (RPE) were still present 1 week after gene transfer but were reduced to undetectable levels by 3 weeks in both intravitreally and subretinally injected eyes. There was minimal evidence of ocular pathology associated with the viral injection. These data indicate that adenovirus-mediated gene transfer to the eye may provide for adjunctive therapy for lysosomal storage diseases affecting the RPE in conjunction with enzyme replacement and/or gene therapies for correction of systemic disease manifestations. The data also support the view that recombinant adenovirus may be useful as a gene therapy vector for retinal degenerations that result from a primary genetic defect in the RPE cells.

Effects of retroviral vector design on expression of human adenosine deaminase in murine bone marrow transplant recipients engrafted with genetically modified cells.

To determine which features of retroviral vector design most critically affect gene expression in hematopoietic cells in vivo, we have constructed a variety of different retroviral vectors which encode the same gene product, human adenosine deaminase (EC 3.5.4.4), and possess the same vector backbone yet differ specifically in transcriptional control sequences suggested by others to be important for gene expression in vivo. Murine bone marrow cells were transduced by each of the recombinant viruses and subsequently used to reconstitute the hematopoietic system of lethally irradiated recipients. Five to seven months after transplantation, analysis of the peripheral blood of animals transplanted with cells transduced by vectors which employ viral long terminal repeats (LTRs) for gene expression indicated that in 83% (77/93) of these animals, the level of human enzyme was equal to or greater than the level of endogenous murine enzyme. Even in bone marrow transplant recipients reconstituted for over 1 year, significant levels of gene expression were observed for each of the vectors in their bone marrow, spleen, macrophages, and B and T lymphocytes. However, derivatives of the parental MFG-ADA vector which possess either a single base mutation (termed B2 mutation) or myeloproliferative sarcoma virus LTRs rather than the Moloney murine leukemia virus LTRs led to significantly improved gene expression in all lineages. These studies indicate that retroviral vectors which employ viral LTRs for the expression of inserted sequences make it possible to obtain high levels of a desired gene product in most hematopoietic cell lineages for close to the lifetime of bone marrow transplant recipients.

Rescue, propagation, and partial purification of a helper virus-dependent adenovirus vector.

Adenoviral vectors are widely used as highly efficient gene transfer vehicles in a variety of biological research strategies including human gene therapy. One of the limitations of the currently available adenoviral vector system is the presence of the majority of the viral genome in the vector, resulting in leaky expression of viral genes particularly at high multiplicity of infection and limited cloning capacity of exogenous sequences. As a first step to overcome this problem, we attempted to rescue a defective human adenovirus serotype 5 DNA, which had an essential region of the viral genome (L1, L2, VAI + II, pTP) deleted and replaced with an indicator gene. In the presence of wild-type adenovirus as a helper, this DNA was packaged and propagated as transducing viral particles. After several rounds of amplification, the titer of the recombinant virus reached at least 4 x 10(6) transducing particles per ml. The recombinant virus could be partially purified from the helper virus by CsCl equilibrium density-gradient centrifugation. The structure of the recombinant virus around the marker gene remained intact after serial propagation, while the pBR sequence inserted in the E1 region was deleted from the recombinant virus. Our results suggest that it should be possible to develop a helper-dependent adenoviral vector, which does not encode any viral proteins, as an alternative to the currently available adenoviral vector systems.

Non-alcoholic fatty liver disease associated with hypobetalipoproteinemia: report of three cases and a novel mutation in APOB gene

Background: Non-alcoholic fatty liver disease, the leading cause of chronic liver disease in children, is defined by hepatic fat infiltration >5% of hepatocytes, in the absence of excessive alcohol intake, evidence of viral, autoimmune or drug-induced liver disease. Conditions like rare genetic disorders must be considered in the differential diagnosis. Case Report: Two male brothers, and a non-related girl, all overweight, had liver steatosis. One of the brothers and the girl had elevated transaminases; all three presented with low total cholesterol, low density lipoproteins and very low density lipoproteins cholesterol levels, hypotriglyceridemia and low apolipoprotein B. A liver biopsy performed in the brother with citolysis confirmed steatohepatitis and the molecular study of apolipoprotein B gene showed a novel homozygous mutation (c.9353dup p.Asn3118Lysfs17). Patients with cytolysis lost weight, however liver steatosis persists. Conclusion: Fatty liver disease might be a consequence of hypobetalipoproteinemia. Evidence is scarce due to low number of reported cases.

Post-transfusion Hepatitis B and Hepatitis non-A/non-B : report to the Illinois General Assembly

The report, which is mandated by Public Act 80-753 describes the great strides made since the early 1970s in preventing viral hepatitis following blood transfusion.

Induction of Therapeutic T-Cell Responses to Subdominant Tumor-associated Viral Oncogene after Immunization with Replication-incompetent Polyepitope Adenovirus Vaccine

The EBV-encoded latent membrane proteins (LMP1 and LMP2), which are expressed in various EBV-associated malignancies have been proposed as a potential target for CTL-based therapy. However, the precursor frequency for LMP-specific CTL is generally low, and immunotherapy based on these antigens is often compromised by the poor immunogenicity and potential threat from their oncogenic potential. Here we have developed a replication-incompetent adenoviral vaccine that encodes multiple HLA class I-restricted CTL epitopes from LMP1 and LMP2 as a polyepitope. Immunization with this polyepitope vaccine consistently generated strong LMP-specific CTL responses in HLA A2/K-b mice, which can be readily detected by both ex vivo and in vivo T-cell assays. Furthermore, a human CTL response to LMP antigens can be rapidly expanded after stimulation with this recombinant polyepitope vector. These expanded T cells displayed strong lysis of autologous target cells sensitized with LMP1 and/or LMP2 CTL epitopes. More importantly, this adenoviral vaccine was also successfully used to reverse the outgrowth of LMP1-expressing tumors in HLA A2/K-b mice. These studies demonstrate that a replication-incompetent adenovirus polyepitope vaccine is an excellent tool for the induction of a protective CTL response directed toward multiple LMP CTL epitopes restricted through common HLA class I alleles prevalent in different ethnic groups where EBV-associated malignancies are endemic.

Better prediction of protein contact number using a support vector regression analysis of amino acid sequence

Background: Protein tertiary structure can be partly characterized via each amino acid's contact number measuring how residues are spatially arranged. The contact number of a residue in a folded protein is a measure of its exposure to the local environment, and is defined as the number of C-beta atoms in other residues within a sphere around the C-beta atom of the residue of interest. Contact number is partly conserved between protein folds and thus is useful for protein fold and structure prediction. In turn, each residue's contact number can be partially predicted from primary amino acid sequence, assisting tertiary fold analysis from sequence data. In this study, we provide a more accurate contact number prediction method from protein primary sequence. Results: We predict contact number from protein sequence using a novel support vector regression algorithm. Using protein local sequences with multiple sequence alignments (PSI-BLAST profiles), we demonstrate a correlation coefficient between predicted and observed contact numbers of 0.70, which outperforms previously achieved accuracies. Including additional information about sequence weight and amino acid composition further improves prediction accuracies significantly with the correlation coefficient reaching 0.73. If residues are classified as being either contacted or non-contacted, the prediction accuracies are all greater than 77%, regardless of the choice of classification thresholds. Conclusion: The successful application of support vector regression to the prediction of protein contact number reported here, together with previous applications of this approach to the prediction of protein accessible surface area and B-factor profile, suggests that a support vector regression approach may be very useful for determining the structure-function relation between primary sequence and higher order consecutive protein structural and functional properties.

Delipidation of a hepadnavirus: Viral inactivation and vaccine development

Many viruses including HIV, hepatitis C and hepatitis B, have an outer lipid envelope which maintains inserted viral peptides in the “correct” functional conformation and orientation. Disruption of the lipid envelope by most solvents destroys infectivity and often results in a loss of antigenicity. This communication outlines a novel approach to viral inactivation by specific solvent delipidation which modifies the whole virion rendering it non-infective, but antigenic. Duck hepatitis B virus (DHBV) was delipidated using a diisopropylether (DIPE) and butanol mixture and residual infectivity tested by inoculation into day-old ducks. Delipidation completely inactivated the DHBV (p < 0.001). Delipidated DHBV was then used to vaccinate ducks. Three doses of delipidated DHBV induced anti-DHBs antibody production and prevented high dose challenge infection in five out of six ducks. In comparison, five of six ducks vaccinated with undelipidated DHBV and four of four ducks vaccinated with glutaraldehyde inactivated DHBV were unprotected (p < 0.05). Although this solvent system completely inactivated DHBV, viral antigens were retained in an appropriate form to induce immunity. Delipidation of enveloped viruses with specific organic solvents has potential as the basis for development of vaccines.

Detecting and sorting targeting peptides wtih neural networks and support vector machines

This paper presents a composite multi-layer classifier system for predicting the subcellular localization of proteins based on their amino acid sequence. The work is an extension of our previous predictor PProwler v1.1 which is itself built upon the series of predictors SignalP and TargetP. In this study we outline experiments conducted to improve the classifier design. The major improvement came from using Support Vector machines as a "smart gate" sorting the outputs of several different targeting peptide detection networks. Our final model (PProwler v1.2) gives MCC values of 0.873 for non-plant and 0.849 for plant proteins. The model improves upon the accuracy of our previous subcellular localization predictor (PProwler v1.1) by 2% for plant data (which represents 7.5% improvement upon TargetP).

Non-zero mean Gaussian process prior wind field models

This report outlines the derivation and application of a non-zero mean, polynomial-exponential covariance function based Gaussian process which forms the prior wind field model used in 'autonomous' disambiguation. It is principally used since the non-zero mean permits the computation of realistic local wind vector prior probabilities which are required when applying the scaled-likelihood trick, as the marginals of the full wind field prior. As the full prior is multi-variate normal, these marginals are very simple to compute.

Model specification and forecasting foreign exchange rates with vector autoregressions

This study examines the forecasting accuracy of alternative vector autoregressive models each in a seven-variable system that comprises in turn of daily, weekly and monthly foreign exchange (FX) spot rates. The vector autoregressions (VARs) are in non-stationary, stationary and error-correction forms and are estimated using OLS. The imposition of Bayesian priors in the OLS estimations also allowed us to obtain another set of results. We find that there is some tendency for the Bayesian estimation method to generate superior forecast measures relatively to the OLS method. This result holds whether or not the data sets contain outliers. Also, the best forecasts under the non-stationary specification outperformed those of the stationary and error-correction specifications, particularly at long forecast horizons, while the best forecasts under the stationary and error-correction specifications are generally similar. The findings for the OLS forecasts are consistent with recent simulation results. The predictive ability of the VARs is very weak.

Discriminating antigen and non-antigen using proteome dissimilarity III:tumour and parasite antigens

Computational genome analysis enables systematic identification of potential immunogenic proteins within a pathogen. Immunogenicity is a system property that arises through the interaction of host and pathogen as mediated through the medium of a immunogenic protein. The overt dissimilarity of pathogenic proteins when compared to the host proteome is conjectured by some to be the determining principal of immunogenicity. Previously, we explored this idea in the context of Bacterial, Viral, and Fungal antigen. In this paper, we broaden and extend our analysis to include complex antigens of eukaryotic origin, arising from tumours and from parasite pathogens. For both types of antigen, known antigenic and non-antigenic protein sequences were compared to human and mouse proteomes. In contrast to our previous results, both visual inspection and statistical evaluation indicate a much wider range of homologues and a significant level of discrimination; but, as before, we could not determine a viable threshold capable of properly separating non-antigen from antigen. In concert with our previous work, we conclude that global proteome dissimilarity is not a useful metric for immunogenicity for presently available antigens arising from Bacteria, viruses, fungi, parasites, and tumours. While we see some signal for certain antigen types, using dissimilarity is not a useful approach to identifying antigenic molecules within pathogen genomes.

Ontology-based protein-protein interactions extraction from literature using the hidden vector state model

This paper proposes a novel framework of incorporating protein-protein interactions (PPI) ontology knowledge into PPI extraction from biomedical literature in order to address the emerging challenges of deep natural language understanding. It is built upon the existing work on relation extraction using the Hidden Vector State (HVS) model. The HVS model belongs to the category of statistical learning methods. It can be trained directly from un-annotated data in a constrained way whilst at the same time being able to capture the underlying named entity relationships. However, it is difficult to incorporate background knowledge or non-local information into the HVS model. This paper proposes to represent the HVS model as a conditionally trained undirected graphical model in which non-local features derived from PPI ontology through inference would be easily incorporated. The seamless fusion of ontology inference with statistical learning produces a new paradigm to information extraction.

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

Background - The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Recently, the modeling of MHC-peptide binding has come to emphasize quantitative predictions: instead of categorizing peptides as "binders" or "non-binders" or as "strong binders" and "weak binders", recent methods seek to make predictions about precise binding affinities. Results - We developed a quantitative support vector machine regression (SVR) approach, called SVRMHC, to model peptide-MHC binding affinities. As a non-linear method, SVRMHC was able to generate models that out-performed existing linear models, such as the "additive method". By adopting a new "11-factor encoding" scheme, SVRMHC takes into account similarities in the physicochemical properties of the amino acids constituting the input peptides. When applied to MHC-peptide binding data for three mouse class I MHC alleles, the SVRMHC models produced more accurate predictions than those produced previously. Furthermore, comparisons based on Receiver Operating Characteristic (ROC) analysis indicated that SVRMHC was able to out-perform several prominent methods in identifying strongly binding peptides. Conclusion - As a method with demonstrated performance in the quantitative modeling of MHC-peptide binding and in identifying strong binders, SVRMHC is a promising immunoinformatics tool with not inconsiderable future potential.